Waymo
Company
TLM - Marketplace Optimization - ML Infra
Job Description
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
You will:
- Lead a growing team of 5-6 junior and senior engineers to implement and scale ML infrastructure for Waymo's core economic engine of ride-hailing commercial services. This collection of systems manages trip booking requests; match right vehicles to riders; calculate the price of rides; positions Waymo's vehicle for future demands.
- Create ML infrastructure for automatically training and deploying optimization and prediction ML models to make real-time decisions for pricing, matching, and positioning.
- Develop experimentation, monitoring and analysis infrastructure for analyzing ongoing deployed models.
- Build simulation infrastructure for all marketplace optimization and ML model development.
You have:
- BS degree in Computer Science or equivalent practical experience
- 6+ years of experience programming in backend coding languages
- 2+ years of people management experience
- Technical leader experience
- Experience building backend applications and API
We prefer:
- BS degree in Computer Science or equivalent practical experience.
- 6+ years of experience programming in backend coding languages.
- 2+ years of people management experience.
- Technical leader experience.
- Experience building backend applications and API.
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Waymo
95 jobs posted
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